New platform helps search and analysis of cloud-stored data
As companies store ever larger amounts of data, the current solutions and services available to handle it become more and more costly and difficult to manage.
To address these challenges, Boston-based CHAOSSEARCH is launching a new platform that delivers rapid search and analytics through a managed service, based on simple, elastic storage.
Organizations not effective at getting value from their data
Businesses increasingly understand that staying competitive means making smart use of their data. But a new survey from Syncsort finds that just nine percent of respondents say their organization is 'very effective' at getting value from data while 48 percent responded 'somewhat effective'.
Making data accessible to users across the enterprise is the third most cited IT challenge and only half call their organization effective in getting data insights to business users.
How big data is fighting against gambling addiction
Technological evolutions have revolutionized the gambling industry. With the rise of gambling apps and live streams, people can now gamble anytime, anywhere with the press of a button.
Demographic gambling rates have since risen exponentially, with more women and young people taking part in the activity than ever before. In total, around 15 percent of the U.S. adult population has gambled in the past week alone. As more apps and fantasy sports teams gain popularity, the online gambling model appears to expect years of robust growth.
Cloud data warehouses are key to digital transformation
Cloud data warehouses (CDW) offer broader data capabilities, stronger performance, and greater flexibility than traditional on-premise databases according to a new survey.
But the study by TDWI on behalf of Talend also shows enterprises need to follow some best practices to overcome implementation challenges and increase investment return.
How data is changing the face of marketing [Q&A]
Thanks to increased ability to collect data in real time, and the use of AI to process and interpret that data, marketers have more opportunity than ever to personalize their offerings to customers.
But what does this mean for enterprises when it comes to spending their marketing budgets and establishing a digital strategy? We spoke to the CEO of DMA | Digital Marketing Agency, Solomon Thimothy to find out how digital marketing can be used to drive business growth.
IT pros believe data will be impossible to manage long term
A new survey of over 900 senior IT decision makers shows that 87 percent believe their organization's secondary data is fragmented across silos and is, or will become, nearly impossible to manage in the long-term.
The survey, commissioned by Cohesity and conducted by Vanson Bourne, finds that that 86 percent of decision makers believe it's important to solve the challenges of mass data fragmentation.
Sapho brings machine learning to the enterprises
Access to up to date information is essential for businesses, but as data proliferates it's too often the case that people spend time searching for the information they need to do their jobs.
Employee experience portal Sapho is integrating machine learning into its product so that metrics that are typically hard to access, due to complex applications or time-consuming dashboards, will now be delivered directly to employees without needing them to conduct an information search.
New partnership aims to bring deeper insights from machine data
The rise of the Internet of Things has presented businesses with huge volumes of data, but harnessing that to produce useful insights can be a challenge.
A new partnership between Trifacta, a leader in data preparation, and Sumo Logic, a cloud-native machine data analytics platform, is aimed at driving improved business intelligence.
DataOps comes to the cloud
The movement of data into the cloud creates challenges for enterprises who still rely on traditional data integration software or single-purpose data import tools.
DataOps specialist StreamSets is launching new features that help companies efficiently build and continuously operate dataflows that span data centers and the big three cloud platforms -- Microsoft Azure, AWS, and Google Cloud Platform.
Data and containers and the keys to success
In the beginning, workloads, tools, and requirements for big data were simple because big data wasn’t really all that big. When we hit 5TB of data, however, things got complicated. Large data sets weren’t well suited to traditional storage like NAS, and large sequential reading of terabytes of data didn’t work well with traditional shared storage.
As big data evolved, the analytics tools graduated from custom code like MapReduce, Hive, and Pig to tools like Spark, Python, and Tensorflow, which made analysis easier. With these newer tools came additional requirements that traditional big data storage couldn’t handle, including millions of files, read-writes, and random access for updates. The only constant was the data itself.
New tools bring natural language search to big data
Businesses need easy and fast access to information in order to make effective decisions, but with the rise of big data important information can be hard to access and remain locked away.
Visual analytics specialist Arcadia data has announced new search-based BI and analytics which will be available in an upcoming release of its flagship product, Arcadia Enterprise.
IT decision makers look to AI to prioritize operational alerts
Faced with an abundance of alerts related to system status IT decision makers are looking to AIOps solutions -- combining big data and machine learning -- to differentiate between legitimate signals and inconsequential noise, according to a new report.
The survey from hybrid IT management platform OpsRamp finds 68 percent have experimented with AIOps tools, and nearly three-quarters (73 percent) are taking advantage of AIOps capabilities to gain more meaningful insights into system alerts.
Most businesses struggle to get value from operational data
Organizations increasingly depend on data to drive improvements in all areas of the enterprise. But a new survey shows that data volumes are affecting productivity, with 68 percent of respondents saying their organization has so much data they struggle to make use of it all.
The study of 400 US and European business and IT professionals for Devo Technology, carried out by Vanson Bourne, shows that getting a unified view of information is challenging. 74 percent report their business is currently using different systems for real-time and historical data storage and analysis, and 95 percent say they face obstacles when trying to get a single view of data.
Google, Facebook, Microsoft and Twitter team up on open source Data Transfer Project to ease your data moving woes
Four giants of the technology world have joined forces in an attempt to make it easier for people to move data between services. The collaboration between Google, Facebook, Microsoft and Twitter takes the form of the open source Data Transfer Project, the aim of which is to make it possible to "transfer data directly from one service to another, without needing to download and re-upload it".
The four companies joining announced the data portability platform which currently makes use of public APIs to offer support for photos, mail, contacts, calendars and tasks from the founders as well as other companies who are encouraged to get involved.
Data lakes improve business decision making
The data lake has long been a powerful tool for data scientists and engineers. But today’s business environment often requires users without coding or scripting skills to access the data stored in lakes.
A new study from analytics and business intelligence specialist Arcadia Data looks in detail at the use of data lakes and the analytical tools that surround them.
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